Key Decisions When Selecting a Big Data Application

Big data solutions are in great demand. Today, enterprise leaders know that their big data is one of their most valuable resources which cannot be ignored. Hence, they are looking for hardware and software that can help them store, manage and analyze their big data.

You’ll need to make some key decisions that will help you narrow down your options, no matter which type of big data application you select. Here are a few of the most important of these considerations:

On-premise vs cloud-based big data applications

You need to be sure of whether you want to host your big data software in your own data centre or if you want to use a cloud-based solution. More organizations seem to be opting for the cloud currently. Global spending on big data solutions via cloud subscriptions will grow almost 7.5 times faster than on-premise subscriptions. Cloud-based big data applications are popular for several reasons, including scalability and ease of management. The major cloud vendors are also leading the way with artificial intelligence and machine learning research. However, cloud isn’t always the best option, especially in organizations with high compliance or security requirements. In addition, some organizations find it more cost effective to continue running their big data applications locally or to use a hybrid approach because they already have investments in existing on-premises data solutions.

Proprietary vs open source big data applications

Some of the most popular big data tools available are available under open source licenses. However, enterprises sometimes find it difficult to get the open source solutions up and running and configured for their needs. Organizations may need to purchase support or consulting services and need to consider those expenses when figuring outthe total cost of ownership.

Batch vs streaming big data applications

The earliest big data solutions but enterprises increasingly find that they want to analyze data in real-time. Many analysts say that streaming capabilities are likely to become standard operating procedure in the not-too-distant future, even if organizations don’t think they need to process streaming data today.

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